جستجوی استاد راهنمای دانشگاهی

Gabriella Casalino is an Assistant Professor at the University of Bari Aldo Moro, Department of Computer Science, and a key researcher at CILAB - Computational Intelligence Lab. Her work focuses on Computational Intelligence methods for interpretable data analysis, particularly in eHealth, Data Stream Mining, and eXplainable Artificial Intelligence (XAI) within medical and educational domains. She has contributed to innovative approaches in smartphone-based health monitoring, fuzzy logic applications, and remote vital sign detection via photoplethysmography. Education : Ph.D. in Computer Science, with advanced training at institutions like Universitat de Girona and Université de Mons. Research Trends : Recent publications highlight applications of evolving granular computing, neuro-fuzzy systems, and explainable AI in hypertension prediction, bipolar disorder monitoring, and educational data analysis. Key subfields include remote health monitoring, medical data streams, and hybrid AI models. Grants : Research funded by AIRC (Italian Cancer Research Foundation), focusing on computational methods for healthcare challenges. Labs & Collaborations : Active in CILAB, collaborating on projects involving mHealth solutions, cardiovascular risk assessment, and intelligent educational systems.

• Computational Intelligence
• eHealth
• Data Stream Mining
• +۵ مورد دیگر

Saverio Mascolo is a Full Professor at the Polytechnic University of Bari , Department of Electrical and Information Engineering. He leads the Control of Computing and Communication Systems Lab (C3Lab) and contributes to IEEE/ACM Transactions on Networking as an Associate Editor. His research focuses on Future Internet, network congestion control, and real-time communication systems. Laurea in Electronic Engineering, Politecnico di Bari (1991) PhD in Electronic and Automatic Control, Politecnico di Bari (1995) Visiting researcher roles at UCLA (1995, 1999), INRIA (2004), and FTW (2004) Research spans network congestion control , adaptive video streaming , and real-time communication . His lab develops protocols like TCP Westwood+ and contributes to WebRTC standards. Current projects include low-delay protocols for immersive video streaming and autonomous systems control. Recent publications emphasize adaptive threshold mechanisms in congestion control, millimeter-wave radar datasets , and immersive teleoperation systems . Projects integrate nonlinear control , time-delay analysis , and cloud-based multimedia delivery . Scientific recognition includes: Elevated to IEEE Fellow (2018) for congestion control contributions Google Faculty Award (2014) for WebRTC research Cisco Research Award (2013) for video streaming control Best paper awards at MMSYS (2025, 2024, 2016) Grants fund research in cloud-based video platforms (MISE, 2017-2020), WebRTC optimization (MIUR, 2012-2015), and network control algorithms. His lab collaborates with institutions like Uppsala University (since 2001) and industry partners.

• Network Congestion Control
• Real-time Communication Systems
• Adaptive Streaming Protocols
• +۴ مورد دیگر

Fausto Marincioni is a Full Professor at the Department of Life and Environmental Sciences (University of Marche) with expertise in disaster risk reduction, climate change, and socio-environmental vulnerability. His research focuses on geohazards, flood management, and participatory methodologies for risk mitigation. He leads the Disaster Risk Reduction Laboratory and actively contributes to EU projects like LIFE PRIMES. His work integrates geospatial analysis, policy evaluation, and community engagement to enhance resilience in vulnerable regions. Research interests include: Geo-hydrological hazards and risk perception Climate adaptation strategies in coastal and urban areas Emergency management systems and crowd-sourced data applications Socio-economic dimensions of disaster resilience Disaster education and shared leadership models Publications highlight interdisciplinary approaches to flood simulation, landslide modeling, and policy integration for SDG implementation. He advocates for geoethics principles in environmental decision-making and has advised on disaster preparedness for universities and hospitals. His office hours are held at the Disaster Risk Reduction Lab, focusing on collaborative research and student mentorship.

• Disaster Risk Reduction
• Environmental Geography
• Climate Change Adaptation
• +۴ مورد دیگر

Antonio Servetti is an Assistant Professor at the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, Italy, where he has been a faculty member since 2007. He is affiliated with the Internet Media Group (IMG) and the Interdepartmental Center PIC4SeR for Service Robotics. His work bridges multimedia processing, network communications, and web technologies. MS in Computer Engineering, Politecnico di Torino, 1999 PhD in Computer Engineering, Politecnico di Torino, 2004 Visiting Scholar, University of California, Santa Barbara, 2003 His research focuses on speech and audio processing , multimedia communications over wired and wireless networks , and real-time web-based multimedia applications . Key interests include WebRTC, Web Audio, HTTP adaptive streaming, and perceptual quality assessment. He has contributed to the development of secure multimedia transmission techniques, including selective encryption of speech and audio. The recent publications highlight a strong trend toward AI-driven modeling of subjective quality in multimedia, especially through deep learning for image and video quality prediction, understanding observer behavior, and remote music performance systems. His work often involves collaboration with researchers in the VQEG JEG-Hybrid group and the NEXA Center. Best Paper Award, Web Audio Conference 2021 Dr. Servetti has led and contributed to several research projects, including BRIC-2024 (acoustics in educational settings), PNRR HiFiReM (remote music education), and INAR (artistic research). He teaches courses such as 'Web Applications', 'Machine Learning for Vision and Multimedia', and 'Digital Audio Processing' across various engineering programs. He is also involved in educational governance as a member of academic councils for multiple degree programs. He is a core member of the Internet Media Group (IMG) , which focuses on multimedia processing and transmission, and contributes to the VQEG JEG-Hybrid working group on video quality assessment, where he develops frameworks for reproducible research and modeling of human perception.

• Speech and Audio Processing
• Multimedia Communications
• Real-Time Multimedia Network Protocols
• +۷ مورد دیگر

Pietro Camarda is Full Professor of Telecommunications at Polytechnic University of Bari's Department of Electrical and Information Engineering. With expertise spanning wireless networks and multimedia systems, his research develops protocols for resource allocation, cognitive networks, and streaming services. Recent publications focus on Social IoT architectures (2025), real-time 3D streaming frameworks (2016), and maritime emergency systems (2015). His laboratory advances solutions for 5G/6G networks and adaptive video delivery.

• Wireless Networks
• Resource Allocation
• Network Protocols
• +۲ مورد دیگر

Sanja Baric is a Professor at the Faculty of Agricultural, Environmental and Food Sciences of Free University of Bozen-Bolzano (unibz), Italy. Her research focuses on plant pathology , particularly chestnut blight and apple postharvest diseases , integrating molecular genetics and agricultural technology to enhance disease detection and management. Current projects address phytoplasma infections in apple trees and fungal pathogens in fruit crops. She teaches courses in plant protection and phytopathology for bachelor’s and master’s programs in Agricultural, Food and Mountain Environmental Sciences. Her publications emphasize genetic diversity of pathogens like Cryphonectria parasitica and Colletotrichum species , alongside innovative diagnostic tools such as knowledge-based Bayesian networks and duplex TaqMan assays . While no specific awards are listed, her work aligns with EU-funded collaborations and interdisciplinary agricultural research .

• Plant Pathology
• Agricultural Sciences
• Molecular Genetics
• +۳ مورد دیگر

Giuseppe Ribezzo is affiliated with the C3Lab, focusing on advanced networking and multimedia systems research. His work emphasizes immersive video streaming optimization, information-centric networking (ICN), and IoT middleware design. He has contributed to developing tools like TAPAS-360 for evaluating 360° video streaming systems and exploring adaptive bitrate control mechanisms using DASH protocols. Research interests include optimizing network bandwidth for immersive content, improving industrial IoT communication via IEEE 802.15.4 protocols, and enhancing streaming QoE through innovative compression and resolution adaptation techniques. His publications span from 2015 to 2021, addressing challenges in both theoretical frameworks and practical implementations. No scientific awards or student advisees are explicitly listed in the provided materials. Collaborations and grants are not detailed here, but his work aligns with C3Lab’s focus on cutting-edge telecommunications and multimedia systems.

• Computer Networks
• Immersive Video Streaming
• Information Centric Networking
• +۳ مورد دیگر

Vito Andrea Racanelli is a Researcher at the Department of Electrical and Information Engineering, Politecnico di Bari, Italy. He holds a PhD in Control Engineering (2025) and a cum laude Master's degree in Control Engineering (2021). His research focuses on control strategies for autonomous systems, including industrial vehicles, UAV swarms, and adaptive video streaming. He is affiliated with the Control Engineering and Computer Science Laboratory (C3Lab), collaborating on robotics and control theory projects. Education: Bachelor/Master: Politecnico di Bari (2016–2021), Thesis: 'Autonomous Driving Systems: The AGV's Case' PhD: Politecnico di Bari (2021–2025), Focus: Model Predictive Control, Networked Systems, and Autonomous Mobile Robots Research interests span Model Predictive Control (MPC), decentralized coordination of UAV swarms, fault-tolerant industrial automation, and medical technology applications (e.g., insulin delivery systems). His work bridges control theory with real-time systems, emphasizing safety and adaptability in dynamic environments. His publications highlight advancements in MPC-based video streaming optimization, event-triggered consensus algorithms for live streaming, and GAN-based depth reconstruction for mmWave sensors. He has presented at top conferences like IEEE CCNC, IFAC SAFEPROCESS, and ICUAS. Advising/grants: No formal advisees listed. Collaborates on C3Lab projects funded by EU and national initiatives in robotics and control systems. Labs/Teams: Active member of C3Lab, contributing to interdisciplinary research in robotics, networked control, and AI-driven systems.

• Control Systems
• Autonomous Systems
• Robotics
• +۳ مورد دیگر

Guglielmo Morgari is a researcher at the Department of Mathematical Sciences 'G. L. Lagrange' (DISMA) at Politecnico di Torino. He serves as an external tutor for PhD students in the Cryptography and Number Theory research group, advising Elena Broggini, Marco Rinaudo, Giuseppe D'Alconzo, and Edoardo Signorini. His research focuses on cryptography, post-quantum security, and cryptanalysis. Current Affiliation: Politecnico di Torino, DISMA Academic Role: Researcher (external tutor) Research areas include: Cryptography Quantum Key Distribution Public-Key Cryptosystems Coding Theory Cryptanalysis Recent publications emphasize quantum-safe communication infrastructure, post-quantum encryption adaptations, and cryptographic sequence analysis. His work spans theoretical foundations and hardware implementations like quantum random number generators.

• Cryptography
• Post-Quantum Cryptography
• Cryptanalysis
• +۳ مورد دیگر

Roberto Riggio is a Researcher at the Department of Information Engineering within the College of Engineering at Marche Polytechnic University (UNIVPM) in Italy. His work focuses on cutting-edge networking technologies with an emphasis on edge computing, 5G/6G networks, and software-defined networking solutions. His research has significant implications for the future of telecommunications infrastructure and distributed computing systems. Dr. Riggio's research interests center around network architecture and management, with particular expertise in edge computing, network function virtualization, and federated learning systems. His work explores the intersection of artificial intelligence and networking, developing novel approaches for resource allocation, service placement, and network optimization. His publications demonstrate a strong focus on practical implementations that address real-world challenges in telecommunications, particularly regarding quality of service, latency management, and security in next-generation networks. Analysis of his recent publications reveals a clear research trajectory focusing on the convergence of AI and networking technologies. His work increasingly emphasizes edge-based AI applications, particularly federated learning implementations that maintain data privacy while enabling distributed intelligence. He has made significant contributions to network slicing, zero-touch management, and O-RAN architectures, with applications spanning from vehicular communications to IoT systems. His publications consistently address the critical challenges of latency, resource allocation, and security in modern networked environments. Dr. Riggio actively contributes to the academic community through his research projects and publications, though specific awards or fellowships aren't documented in the available materials. His work appears in reputable venues focused on networking and telecommunications research. While specific details about his advising activities and grant funding aren't provided in the available documentation, his extensive publication record suggests active involvement in research projects. His work appears to be connected to several European research initiatives, particularly those focused on 5G and beyond networks, edge computing, and software-defined networking solutions. The collaborative nature of many publications indicates participation in multi-institutional research efforts. Based on his publication topics, Dr. Riggio likely participates in research groups or labs focused on networking and telecommunications at UNIVPM. His work on projects like AI@EDGE, O-RAN implementations, and network management platforms suggests involvement with specialized research teams developing next-generation networking solutions. His research has practical applications in areas including connected and automated mobility, IoT infrastructure, and content delivery networks.

• Networking
• Edge Computing
• 5G Networks
• +۵ مورد دیگر

Giada Giorgi is an Assistant Professor at the Department of Information Engineering , University of Padova , Italy. Her academic profile combines Electronic Measurement research with innovative LabVIEW-based educational tools for Measurement Systems for Automation and Industrially Focused Instruments . Research Focus: Quantile-based analysis of self-similar network traffic, IEEE1451 standard implementation, and advanced measurement uncertainty modeling. Teaching Contributions: Developed virtual laboratory environments for student training in electronic measurement techniques and instrumentation. Technical Expertise: Specializes in wavelet transform applications for traffic analysis and synchronization system robustness. Academic Affiliations: Active researcher in the measurement group at the University of Padova. Her work bridges theoretical analysis with practical implementations in measurement systems, particularly addressing challenges in network traffic diagnostics and real-time monitoring . Email: giada.giorgi@dei.unipd.it | giada@dei.unipd.it

• Network Traffic Analysis
• Measurement Systems
• Automation and Industrial Production
• +۷ مورد دیگر

Gioacchino Manfredi is an Assistant Professor in the Department of Electrical and Information Engineering at the Polytechnic of Bari, Italy. His academic work focuses on the intersection of control theory, machine learning, and networked systems, with particular emphasis on video streaming technologies and biomedical applications. Dr. Manfredi earned his cum laude degree in Control Engineering from Sapienza University of Rome in October 2018, where he was later awarded the "excellent graduate" prize in March 2019. He completed his Ph.D. in Electric and Information Engineering at the Polytechnic of Bari in 2023. His research spans multiple domains with a strong focus on adaptive video streaming systems , where he has made significant contributions to QoE (Quality of Experience) and QoS (Quality of Service) management. His work extends to deep reinforcement learning applications for nonlinear control systems, particularly in medical contexts like automated insulin delivery for diabetes treatment. Additional research interests include consensus algorithms for multi-agent systems, 360° video streaming, and Lyapunov Neural Networks for stability analysis of nonlinear systems. Dr. Manfredi's publication record demonstrates a clear evolution from traditional network control systems toward more sophisticated AI-driven approaches, with recent work bridging theoretical control concepts with practical implementations in both networked multimedia and biomedical systems. His research shows increasing sophistication in applying reinforcement learning to safety-critical domains while maintaining rigorous stability guarantees. Excellent Graduate Prize from Sapienza University of Rome (2019) As an active member of the C3 Lab at Polytechnic of Bari, Dr. Manfredi collaborates closely with Professor Saverio Mascolo and other researchers on projects related to low-delay protocols, adaptive video streaming, and congestion control. His work contributes to several research initiatives including those focused on real-time communication systems and medical cyber-physical applications, demonstrating the versatility of control theory approaches across diverse application domains.

• Adaptive Video Streaming
• Quality of Experience Management
• Quality of Service Management
• +۷ مورد دیگر

Giuseppe Cofano is affiliated with the Department of Electronics and Electrical Engineering at Politecnico di Bari, Italy. He holds a PhD in Telecommunications Engineering (graduated 2016) and has conducted research on adaptive video streaming, network control systems, and SIP overload control. His work focuses on optimizing streaming algorithms, network-assisted strategies, and real-time control mechanisms for multimedia delivery. He has collaborated internationally, including a research stay at the University of Würzburg, Germany, under Prof. Phuoc Tran-Gia. Notably, his 2016 work on HTTP adaptive streaming earned a Best Student Paper Award at ACM Mmsys. Research interests include hybrid modeling of adaptive streaming systems, control architectures for massive video distribution, and optimization techniques like extremum seeking. His publications span IEEE Transactions, ACM conferences, and the IFAC World Congress, addressing topics like network dynamics, QoS/QoE metrics, and protocol design. He has contributed to both theoretical advancements and experimental validation of streaming systems. Education: Bachelor's in Telecommunications Engineering, Politecnico di Bari, 2009 Master's in Telecommunications Engineering, Politecnico di Bari, 2012 PhD (2013–2016), joint between Politecnico di Bari and Scuola Interpolitecnica (Torino) His research integrates control theory with networking challenges, emphasizing practical applications such as overload management in SIP systems and adaptive streaming efficiency. Collaborations include projects on cross-layer interactions (application, transport, network layers) and SDN-based QoS monitoring.

• Adaptive Video Streaming
• Network Control Systems
• SIP Overload Control
• +۳ مورد دیگر

Iffat Ahmed is a wireless networking researcher specializing in multimedia quality optimization, with a PhD from IMT School for Advanced Studies Lucca (2013). Her academic journey includes adjunct faculty roles at Allama Iqbal Open University and teaching positions at Pakistan's Federal Directorate of Education. Current affiliations reflect post-PhD research activity with international collaborations at CTTC Lab Barcelona. Her educational background features: PhD in Computer Science and Engineering, IMT School for Advanced Studies Lucca, Italy (2010-2013) Master's research on Cross-layer optimization for multimedia content over next generation networks Research focuses on Next Generation Wireless Networks with emphasis on cross-layer optimization for video services. She pioneers techniques in resource management , scheduling algorithms , and QoE-QoS mapping to enhance scalable video transmission in cellular environments. Her work bridges physical layer constraints with application requirements through PHY/application cross-layer design. Publication trends (2007-2013) show evolution from general multimedia traffic engineering to specialized LTE/femtocell solutions, with 2013 representing peak output in IEEE flagship conferences. Key themes include multicast transmission policies and adaptive scheduling for heterogeneous networks. Notable recognitions include: Second Prize, 'Inventare il Futuro' innovation forum (University of Bologna, 2013) Winner, ICT Report Writing Competition (Pakistan Ministry of IT, 2007) Research funding comprises Italian Government PhD scholarship and Erasmus grant for Barcelona collaboration. Past teaching roles demonstrate student mentorship capacity in operating systems and networking fundamentals. Current activity suggests continued research in multimedia QoS for emerging wireless standards without dedicated lab leadership.

• Wireless Communications
• Quality of Service
• Quality of Experience
• +۵ مورد دیگر

Ombretta Gaggi is an Associate Professor at the Department of Mathematics, University of Padua, where she has been conducting research and teaching since April 2006. Her academic journey began with a Laurea degree cum laude in Computer Science from Ca' Foscari University of Venice in 1998, followed by a PhD in Computer Science from the Consortium of Universities of Bologna, Padova and Venice in 2003. Her research spans mobile computing and networking, web technologies, social networks, and semantic web, with a strong emphasis on accessibility technologies and serious games for educational and medical applications. She has made significant contributions to developing solutions for visually impaired users, early identification of developmental dyslexia, and safety mechanisms for mobile communications. Professor Gaggi's recent publications demonstrate a consistent track record of high-impact research in top venues including ACM Transactions on the Web, IEEE Transactions on Mobile Computing, and IEEE Access. Her work increasingly focuses on leveraging technology for social good, addressing challenges in accessibility, education, and online safety. Best Paper Award at IEEE International Conference on Multimedia and Expo (ICME 2013) As an educator, Professor Gaggi teaches Web Technologies and Mobile Programming and Multimedia courses at the University of Padua. Her research group offers opportunities for students to work on cutting-edge projects at the intersection of mobile computing, web technologies, and accessibility solutions. She has established international collaborations and regularly publishes in top-tier conferences and journals, demonstrating sustained research productivity across multiple domains. Her laboratory work focuses on practical implementations of theoretical frameworks, particularly in accessibility technologies and serious games applications, with strong connections to real-world challenges in education and healthcare.

• Mobile Computing and Networking
• Web Technologies
• Social Networks
• +۷ مورد دیگر